Empirical models for spatial distribution of wildlife, given data from a complete census or a random sample of sites, are reviewed. Use of covariates, recorded at different resolutions, for modelling spatial distribution is explored. Presentation of model predictions in map form is discussed. A framework of models for change in spatial distribution, given data from successive surveys, is developed. Methods for quantifying and presenting precision and bias are described. The methods are illustrated for green woodpecker Picus viridis, redstart Phoenicurus phoenicurus and red deer Cervus elaphus, using data from NE Scotland. -Authors</p
The evaluation of species distribution models (SDMs) is a crucial step; usually, a random subsample ...
Spatial distribution is one of the most characteristic ecological properties of species. Unlike rate...
Species distribution models (SDMs) are an important tool in biogeography and ecology and are widely ...
1. A new method for estimating the geographical distribution of plant and animal species from incomp...
While reliable estimates of species abundance distribution are required for wildlife management and ...
The distribution and abundance of species are a major subject of research in ecology and conservatio...
In past decades, a variety of statistical techniques have been used and developed to predict species...
In this paper we show how new technologies can be incorporated from the gathering of field data on w...
Despite a growing interest in species distribution modelling, relatively little attention has been p...
Wildlife managers are often faced with the difficult task of determining the distribution of species...
Species distribution modelling methods are used for a variety of applications including: to assess c...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
Spatial autocorrelation in species’ distributions has been recognized as inflating the probability o...
When modeling species distributions, a common problem is a lack of independence in sampling values o...
The degree of consistency with which groups of animals use the landscape is determined by a variety ...
The evaluation of species distribution models (SDMs) is a crucial step; usually, a random subsample ...
Spatial distribution is one of the most characteristic ecological properties of species. Unlike rate...
Species distribution models (SDMs) are an important tool in biogeography and ecology and are widely ...
1. A new method for estimating the geographical distribution of plant and animal species from incomp...
While reliable estimates of species abundance distribution are required for wildlife management and ...
The distribution and abundance of species are a major subject of research in ecology and conservatio...
In past decades, a variety of statistical techniques have been used and developed to predict species...
In this paper we show how new technologies can be incorporated from the gathering of field data on w...
Despite a growing interest in species distribution modelling, relatively little attention has been p...
Wildlife managers are often faced with the difficult task of determining the distribution of species...
Species distribution modelling methods are used for a variety of applications including: to assess c...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
Spatial autocorrelation in species’ distributions has been recognized as inflating the probability o...
When modeling species distributions, a common problem is a lack of independence in sampling values o...
The degree of consistency with which groups of animals use the landscape is determined by a variety ...
The evaluation of species distribution models (SDMs) is a crucial step; usually, a random subsample ...
Spatial distribution is one of the most characteristic ecological properties of species. Unlike rate...
Species distribution models (SDMs) are an important tool in biogeography and ecology and are widely ...